iPhone 14
Geekbench AI Score
3287
Single Precision Score
20751
Half Precision Score
23022
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 25 2025 04:37 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone 14 |
| Model ID | iPhone14,7 |
| Motherboard | D27AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1351
251.2 IPS |
|
|
Image Classification (HP)
|
100% |
8775
1.63 KIPS |
|
|
Image Classification (Q)
|
96% |
10537
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1370
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13791
223.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
15924
258.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6362
7.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
94207
109.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
96261
112.8 IPS |
|
|
Object Detection (SP)
|
100% |
1426
113.1 IPS |
|
|
Object Detection (HP)
|
99% |
11057
879.5 IPS |
|
|
Object Detection (Q)
|
91% |
11076
885.0 IPS |
|
|
Face Detection (SP)
|
100% |
2801
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
28603
339.9 IPS |
|
|
Face Detection (Q)
|
100% |
36532
434.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5237
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
56516
435.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
79029
617.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17219
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
163694
210.4 IPS |
|
|
Style Transfer (Q)
|
96% |
172566
222.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3843
141.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29238
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28133
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2442
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2420
3.23 KIPS |
|
|
Text Classification (Q)
|
93% |
2356
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3704
63.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6273
108.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7080
122.4 IPS |
